2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)最新文献_第3页

Delay tolerant routing protocol for heterogeneous marine vehicular mobile ad-hoc network 异构船舶移动自组网的容延迟路由协议

2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2017-03-13 DOI: 10.1109/PERCOMW.2017.7917607

D. Raj, M. Ramesh, S. Duttagupta

引用次数: 11

Personal identification system based on rotation of toilet paper rolls 基于厕纸旋转的个人识别系统

2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2017-03-13 DOI: 10.1109/PERCOMW.2017.7917617

Masaya Kurahashi, Kazuya Murao, T. Terada, M. Tsukamoto

引用次数: 7

A service Robot Acceptance Model: User acceptance of humanoid robots during service encounters 一个服务机器人接受模型:用户在服务过程中对人形机器人的接受

2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2017-03-13 DOI: 10.1109/PERCOMW.2017.7917585

R. Stock, Moritz Merkle

引用次数: 57

HeatWatch: Preventing heatstroke using a smart watch HeatWatch:使用智能手表预防中暑

2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2017-03-13 DOI: 10.1109/PERCOMW.2017.7917642

Takashi Hamatani, A. Uchiyama, T. Higashino

引用次数: 7

Privacy in context-aware mobile crowdsourcing systems 情境感知移动众包系统中的隐私

2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2017-03-13 DOI: 10.1109/PERCOMW.2017.7917563

Thivya Kandappu, Archan Misra, Shih-Fen Cheng, H. Lau

{"title":"Privacy in context-aware mobile crowdsourcing systems","authors":"Thivya Kandappu, Archan Misra, Shih-Fen Cheng, H. Lau","doi":"10.1109/PERCOMW.2017.7917563","DOIUrl":"https://doi.org/10.1109/PERCOMW.2017.7917563","url":null,"abstract":"Mobile crowd-sourcing can become as a strategy to perform time-sensitive urban tasks (such as municipal monitoring and last mile logistics) by effectively coordinating smartphone users. The success of the mobile crowd-sourcing platform depends mainly on its effectiveness in engaging crowd-workers, and recent studies have shown that compared to the pull-based approach, which relies on crowd-workers to browse and commit to tasks they would want to perform, the push-based approach can take into consideration of worker's daily routine, and generate highly effective recommendations. As a result, workers waste less time on detours, plan more in advance, and require much less planning effort. However, the push-based systems are not without drawbacks. The major concern is the potential privacy invasion that could result from the disclosure of individual's mobility traces to the crowd-sourcing platform. In this paper, we first demonstrate specific threats of continuous sharing of users locations in such push-based crowd-sourcing platforms. We then propose a simple yet effective location perturbation technique that obfuscates certain user locations to achieve privacy guarantees while not affecting the quality of the recommendations the system generates.We use the mobility traces data we obtained from our urban campus to show the trade-offs between privacy guarantees and the quality of the recommendations associated with the proposed solution. We show that obfuscating even 75% of the individual trajectories will affect the user to make another extra 1.8 minutes of detour while gaining 62.5% more uncertainty of his location traces.","PeriodicalId":319638,"journal":{"name":"2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"97 16","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133455233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Preventing shoulder surfing using randomized augmented reality keyboards 防止肩部冲浪使用随机增强现实键盘

2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2017-03-13 DOI: 10.1109/PERCOMW.2017.7917636

Anindya Maiti, Murtuza Jadliwala, Chase Weber

{"title":"Preventing shoulder surfing using randomized augmented reality keyboards","authors":"Anindya Maiti, Murtuza Jadliwala, Chase Weber","doi":"10.1109/PERCOMW.2017.7917636","DOIUrl":"https://doi.org/10.1109/PERCOMW.2017.7917636","url":null,"abstract":"Shoulder surfing or adversarial eavesdropping to infer users' keystrokes on physical QWERTY keyboards continues to be a serious privacy threat. Despite this, practical and efficient countermeasures against such attacks are still lacking. In this paper, we propose keyboard randomization as a simple, yet effective, countermeasure against various types of keystroke inference attacks. Our proposal consists of several keyboard randomization strategies which randomizes or changes the position of keys on the keyboard. The randomized keyboard is then projected to the typing user by means of an augmented reality wearable device. As the randomized keyboard is visually superimposed over the actual physical keyboard, and is visible only to the typing user through the augmented reality device, it acts as an effective countermeasure against both side-channel and visual-channel based keystroke inference attacks. We implement our proposed solution on a commercially available augmented reality device and conduct preliminary evaluations to validate its performance and effectiveness.","PeriodicalId":319638,"journal":{"name":"2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124474815","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 20

Energy-efficient acoustic communication using vibration energy harvesting 利用振动能量收集的节能声学通信

2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2017-03-13 DOI: 10.1109/PERCOMW.2017.7917537

Guohao Lan

{"title":"Energy-efficient acoustic communication using vibration energy harvesting","authors":"Guohao Lan","doi":"10.1109/PERCOMW.2017.7917537","DOIUrl":"https://doi.org/10.1109/PERCOMW.2017.7917537","url":null,"abstract":"With the ubiquity of microphone-enabled pervasive device, the use of speaker-microphone to transfer small piece of information has become a hot area in both industry and research communities. Unfortunately, however, microphone-based acoustic communication systems rely on power-consuming digital signal processing (DSP) to decode the modulated information in the sound. Given the battery lifetime of today's mobile devices is limited, microphone-based systems are facing challenges in achieving long-term computing and communication. In this proposal, we aim to investigates the possibility of using a vibration energy harvesting (VEH) device as an receiver for energy-efficient acoustic communication. By modulating the ambient vibration energy using a transmitting speaker, and demodulating the harvested power at the receiving VEH, our current system prototype [1] is able to transmit small amounts of data at reasonable rates between two proximate devices. The key advantage of using VEH as a receiver is that the modulated sound waves can be successfully demodulated directly from the harvested power without employing the power-consuming DSP, which makes a VEH receiver more power efficient than a conventional microphone-based decoder. As part of our future work, we will further improve and optimize the performance of our prototype system while ensure better user experience and system security.","PeriodicalId":319638,"journal":{"name":"2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124943096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

InLocW: A reliable indoor tracking and guiding system for smartwatches with path re-routing InLocW:一个可靠的室内跟踪和引导系统，用于智能手表的路径重新路由

2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2017-03-13 DOI: 10.1109/PERCOMW.2017.7917648

Vivek Chandel, D. Jaiswal, Avik Ghose

{"title":"InLocW: A reliable indoor tracking and guiding system for smartwatches with path re-routing","authors":"Vivek Chandel, D. Jaiswal, Avik Ghose","doi":"10.1109/PERCOMW.2017.7917648","DOIUrl":"https://doi.org/10.1109/PERCOMW.2017.7917648","url":null,"abstract":"In this work, an end-to-end indoor routing and guiding solution, ‘InLocW’ (InLoc - Wearable) is discussed. The initial location fix of the user is obtained using an infrastructure of BLE beacons. Primary focus is on continuous calculation of instantaneous walking direction (a primary arrow displayed on the smartwatch) based on user's current location estimated by a particle filter which runs in the back end. A solution is devised to synchronize these directions to user's walking, thereby solving the problem of inherent latency between estimated and actual user's location in a PDR system. Another major contribution of this work is a preventive measure against the deviation of user from the path, for which a secondary arrow is displayed on the smartwatch to inform the user of any impending turn well before the turn itself. Also a correction module is implemented which re-routes the user back to the correct path in case any deviation from the optimum path is detected, which constitutes another major contribution. The overall system works without any dependence on a smartphone, or any involvement of user with the smartwatch during routing, thereby allowing them to walk without any distractions, and just follow the displayed directions. The system has been tested on paths with multiple turns and has proved to be efficient in preventing deviations from the routing path, and ensuring a smooth movement of user from source to the selected destination with high reliability.","PeriodicalId":319638,"journal":{"name":"2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125022955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Characterizing road segments using compass sensors to predict approaching bus stops 使用罗盘传感器来预测即将到来的公共汽车站的路段特征

2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2017-03-13 DOI: 10.1109/PERCOMW.2017.7917604

Danila Chenchik, Jia Chen, S. Yan, S. Nirjon

引用次数: 1

Understanding customer behaviour in urban shopping mall from WiFi logs 通过WiFi日志了解城市购物中心的顾客行为

2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2017-03-13 DOI: 10.1109/PERCOMW.2017.7917519

Yuanyi Chen, Jinyu Zhang, M. Guo, Jiannong Cao

引用次数: 3